COVID-19 and Substance Misuse Case Identification using Data Science: A Retrospective Cohort Study

This project will provide novel and critically important tools in artificial intelligence for the detection of substance misuse and COVID-19 from the electronic health record (EHR). Development and validation of a digital classifier would enable a standardized approach to perform screening on all patient encounters on a daily basis in health systems. We will rigorously develop and test the classifier retrospectively on an existing dataset of 60,000 patients who have been screened for COVID-19. This will serve as the first step towards a comprehensive universal screener that leverages available data in the EHR.

CTN Protocol ID: 
CTN-0111
Status: 
Development

Principal Investigator(s)

Niranjan Karnik, M.D., Ph.D.

The Cynthia Oudejans Harris, M.D., Professor of Psychiatry Associate Dean for Community Behavioral Health Vice Chair for Innovation
Rush University
Department of Psychiatry & Behavioral Sciences

1645 West Jackson Blvd., Suite 600
Chicago, IL 60612
United States